AnandInguva opened a new issue, #24903: URL: https://github.com/apache/beam/issues/24903
### What needs to happen? Sklearn doesn't offer backward compatibility wrt models on newer versions. In the Sklearn IT tests, we use models trained manually and this can get outdated when there is an update to sklearn. So to tackle this, we need to create a script which trains the sklearn models on the data and then publish this model to a GCS bucket, once this is done we can use this model to run Sklearn IT test. ### Issue Priority Priority: 2 (default / most normal work should be filed as P2) ### Issue Components - [X] Component: Python SDK - [ ] Component: Java SDK - [ ] Component: Go SDK - [ ] Component: Typescript SDK - [ ] Component: IO connector - [ ] Component: Beam examples - [ ] Component: Beam playground - [ ] Component: Beam katas - [ ] Component: Website - [ ] Component: Spark Runner - [ ] Component: Flink Runner - [ ] Component: Samza Runner - [ ] Component: Twister2 Runner - [ ] Component: Hazelcast Jet Runner - [ ] Component: Google Cloud Dataflow Runner -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
